Job
In this role, you will develop scalable data products in Databricks, model data, ensure high quality, and guide the implementation of innovative AI applications to enhance data strategy and analytics landscape.
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Job technologies
Your role in the team
- Actively shape the data-driven future of our manufacturing company: At the intersection of business units, a modern data platform, and artificial intelligence, you will develop scalable data products that turn data into reliable decisions and tangible value.
- You will support the entire development process—from analyzing business requirements and data modeling to implementation and production operations—and play a lasting role in shaping our data strategy and analytics landscape.
- You develop and own data products in Databricks—from business requirements and data models to pipelines and production operations.
- By building semantic models and metric layers, you ensure consistent, company-wide definitions of metrics, terms, and business relationships.
- You translate requirements from business departments into scalable data models and analytics solutions.
- You ensure high data quality for your data products and compliance with governance, documentation, and access control standards.
- You empower business units to use data independently and actively drive the expansion of self-service analytics.
- With an eye on emerging technologies, you identify innovative AI and agentic AI use cases and guide their implementation from proof of concept through to production.
- You actively drive the further development of our data platform, standards, and ways of working with your own ideas.
Our expectations of you
Education
- Successfully completed degree in (business) informatics, data science, engineering, or a comparable qualification with relevant professional experience.
Qualifications
- Experience building semantic models, business glossaries, and metric layers, for example with Power BI Semantic Models, dbt, or comparable technologies.
- Understanding of data governance, data quality, and access control and lifecycle concepts in modern data platform environments.
- Enthusiasm for innovative technologies and data-driven, AI-powered solutions, combined with an analytical, structured approach to work, a high degree of initiative, excellent communication skills, and a passion for cross-functional collaboration.
- Excellent written and spoken German skills complete the profile.
Experience
- Experience in data engineering, analytics engineering, or in developing and owning data products.
- Strong knowledge of SQL and Python, as well as hands-on experience in data modeling and implementing ETL/ELT processes.
- Ideally, experience with Databricks, Delta Lake, Unity Catalog, or comparable lakehouse technologies.
What we offer
- We offer more than 35 attractive benefits across the following categories: Compensation & Bonuses, Vacation & Flexibility, Family & Work, Health & Sustainability, Team & Culture, Onboarding & Career.
- Please note that benefits may vary depending on the location or position.
Benefits
Food & drink
Health, fitness & fun
Higher take-home pay
Topics you will work on
Job locations
About your employer
GOLDBECK is one of Europe's leading construction companies with over 7,200 employees at around 70 locations and a total output of around 3.5 billion euros. As a successful company in our industry, we are proud of our achievements and of being able to offer our customers the best possible quality.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Construction, Real Estate, Building Services
Employer reviews
- Working conditions
- 3.6
- Team culture
- 3.8
- Career growth
- 3.3
- Engineering
- 2.9
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